Caching improves application performance by storing frequently accessed data in memory, reducing database calls and response time. Redis is commonly used as a cache in Spring Boot applications due to its fast in-memory processing and scalability.
Spring Boot supports multiple cache providers through its caching abstraction, such as EhCache, Caffeine, Redis, and Hazelcast. EhCache and Caffeine are mainly used for local in-memory caching, while Redis and Hazelcast are preferred for distributed caching in scalable, multi-instance applications.
Redis caching works by storing frequently accessed data in memory. When a request comes in, Spring first checks Redis for the data. If it is available (cache hit), the data is returned directly from Redis. If it is not available (cache miss), the application fetches the data from the database, returns it to the client, and stores it in Redis for future requests. Spring Boot provides annotations like @Cacheable, @CachePut, and @CacheEvict to manage caching easily.
how to implemnt redis cache:
1) To implement Redis caching in a Spring Boot application, we first create a Spring Boot project and add the required dependencies: spring-boot-starter-web for REST APIs, spring-boot-starter-data-redis for Redis integration, and spring-boot-starter-cache for Spring's caching abstraction. These dependencies enable us to cache frequently accessed data in Redis with minimal configuration.
2) To enable Redis caching, we configure the Redis host and port in the application.properties file and set the cache type to Redis. We can also define a TTL (Time-To-Live) to automatically expire cached data after a specified duration. Once Redis is running, Spring Boot uses it as the cache store for managing cached data efficiently.
3) To enable caching in a Spring Boot application, we use the @EnableCaching annotation in the main application class. This activates Spring's caching support and allows us to use annotations like @Cacheable, @CachePut, and @CacheEvict for managing cache operations.
4) Create a service class and use Spring Cache annotations to manage caching for CRUD operations. These annotations help improve performance by storing frequently accessed data in Redis and keeping the cache synchronized with database changes.In the Service, we use @Cacheable for read operations to avoid repeated database calls by fetching data from Redis when available. @CachePut is used for create and update operations to ensure the cache always contains the latest data, while @CacheEvict removes stale data from the cache when a user is deleted. This keeps the cache synchronized with the database and improves application performance
check my github repo for source code: https://github.com/rajubora/demo/tree/master